Datasets. Office-31 [1]} contains 31 classes and 4,110 images collected from three differenet domains: Amazon Website (A) with 2817 images, Web Camera (W) with 498 images and Digital SLR Camera (D) with 795 images. By permuting the three domains, we obtain six transfer tasks: A→W, D→W, W→D, A→D, D→A and W→A.
ImageCLEF-DA [2]} is a dataset created by the ImageCLEF2014 domain adaptation competition. We follow the guidelines of [3]} and select 3 sub-domains of Caltech-256 (C), ImageNet ILSVRC 2012 (I) and Pascal VOC 2012 (P), which have 12 common categories. There are six UDA tasks to be evaluated.
Office-Home [4]} is another more challenging dataset for visual domain adaptation. It mainly includes four dissimilar subdomains, namely Artistic images (Ar), ClipArt (Ca), Product images (Pr) and Real-World images (Re). There are 15500 images in 65 different categories. They are all pictures under office and home settings, which constitute a total of 12 domain adaptation tasks.
